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Predicting temperature and precipitation during the flood season based on teleconnection

Overview of attention for article published in Geoscience Letters, January 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

mendeley
14 Mendeley
Title
Predicting temperature and precipitation during the flood season based on teleconnection
Published in
Geoscience Letters, January 2022
DOI 10.1186/s40562-022-00212-3
Authors

Jaewon Jung, Hung Soo Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 14%
Lecturer 2 14%
Student > Ph. D. Student 2 14%
Student > Master 2 14%
Researcher 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Earth and Planetary Sciences 3 21%
Environmental Science 3 21%
Computer Science 3 21%
Chemical Engineering 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2022.
All research outputs
#15,499,578
of 23,033,713 outputs
Outputs from Geoscience Letters
#92
of 192 outputs
Outputs of similar age
#281,669
of 503,974 outputs
Outputs of similar age from Geoscience Letters
#8
of 15 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 192 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 503,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.